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533 results on '"van Staa, Tjeerd P"'

1. Sepsis and case fatality rates and associations with deprivation, ethnicity, and clinical characteristics: population-based case–control study with linked primary care and hospital data in England

Author

van Staa, Tjeerd Pieter, Pate, Alexander, Martin, Glen P., Sharma, Anita, Dark, Paul, Felton, Tim, Zhong, Xiaomin, Bladon, Sian, Cunningham, Neil, Gilham, Ellie L., Brown, Colin S., Mirfenderesky, Mariyam, Palin, Victoria, and Ashiru-Oredope, Diane

Published
2024
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4. Calibration plots for multistate risk predictions models: an overview and simulation comparing novel approaches

Author

Pate, Alexander, Sperrin, Matthew, Riley, Richard D., Peek, Niels, Van Staa, Tjeerd, Sergeant, Jamie C., Mamas, Mamas A., Lip, Gregory Y. H., Flaherty, Martin O, Barrowman, Michael, Buchan, Iain, and Martin, Glen P.

Subjects
Statistics - Methodology
Abstract

Introduction. There is currently no guidance on how to assess the calibration of multistate models used for risk prediction. We introduce several techniques that can be used to produce calibration plots for the transition probabilities of a multistate model, before assessing their performance in the presence of non-informative and informative censoring through a simulation. Methods. We studied pseudo-values based on the Aalen-Johansen estimator, binary logistic regression with inverse probability of censoring weights (BLR-IPCW), and multinomial logistic regression with inverse probability of censoring weights (MLR-IPCW). The MLR-IPCW approach results in a calibration scatter plot, providing extra insight about the calibration. We simulated data with varying levels of censoring and evaluated the ability of each method to estimate the calibration curve for a set of predicted transition probabilities. We also developed evaluated the calibration of a model predicting the incidence of cardiovascular disease, type 2 diabetes and chronic kidney disease among a cohort of patients derived from linked primary and secondary healthcare records. Results. The pseudo-value, BLR-IPCW and MLR-IPCW approaches give unbiased estimates of the calibration curves under non-informative censoring. These methods remained unbiased in the presence of informative censoring, unless the mechanism was strongly informative, with bias concentrated in the areas of predicted transition probabilities of low density. Conclusions. We recommend implementing either the pseudo-value or BLR-IPCW approaches to produce a calibration curve, combined with the MLR-IPCW approach to produce a calibration scatter plot, which provides additional information over either of the other methods., Comment: Pre-print for article currently under review

Published
2023

5. A meta-analysis of previous falls and subsequent fracture risk in cohort studies

Author

Vandenput, Liesbeth, Johansson, Helena, McCloskey, Eugene V., Liu, Enwu, Schini, Marian, Åkesson, Kristina E., Anderson, Fred A., Azagra, Rafael, Bager, Cecilie L., Beaudart, Charlotte, Bischoff-Ferrari, Heike A., Biver, Emmanuel, Bruyère, Olivier, Cauley, Jane A., Center, Jacqueline R., Chapurlat, Roland, Christiansen, Claus, Cooper, Cyrus, Crandall, Carolyn J., Cummings, Steven R., da Silva, José A. P., Dawson-Hughes, Bess, Diez-Perez, Adolfo, Dufour, Alyssa B., Eisman, John A., Elders, Petra J. M., Ferrari, Serge, Fujita, Yuki, Fujiwara, Saeko, Glüer, Claus-Christian, Goldshtein, Inbal, Goltzman, David, Gudnason, Vilmundur, Hall, Jill, Hans, Didier, Hoff, Mari, Hollick, Rosemary J., Huisman, Martijn, Iki, Masayuki, Ish-Shalom, Sophia, Jones, Graeme, Karlsson, Magnus K., Khosla, Sundeep, Kiel, Douglas P., Koh, Woon-Puay, Koromani, Fjorda, Kotowicz, Mark A., Kröger, Heikki, Kwok, Timothy, Lamy, Olivier, Langhammer, Arnulf, Larijani, Bagher, Lippuner, Kurt, McGuigan, Fiona E. A., Mellström, Dan, Merlijn, Thomas, Nguyen, Tuan V., Nordström, Anna, Nordström, Peter, O’Neill, Terence W., Obermayer-Pietsch, Barbara, Ohlsson, Claes, Orwoll, Eric S., Pasco, Julie A., Rivadeneira, Fernando, Schott, Anne-Marie, Shiroma, Eric J., Siggeirsdottir, Kristin, Simonsick, Eleanor M., Sornay-Rendu, Elisabeth, Sund, Reijo, Swart, Karin M. A., Szulc, Pawel, Tamaki, Junko, Torgerson, David J., van Schoor, Natasja M., van Staa, Tjeerd P., Vila, Joan, Wareham, Nicholas J., Wright, Nicole C., Yoshimura, Noriko, Zillikens, MCarola, Zwart, Marta, Harvey, Nicholas C., Lorentzon, Mattias, Leslie, William D., and Kanis, John A.

Published
2024
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6. Real-world evidence: new opportunities for osteoporosis research. Recommendations from a Working Group from the European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO)

Author

Moon, Rebecca J., Reginster, Jean-Yves, Al-Daghri, Nasser M., Thiyagarajan, Jotheeswaran A., Beaudart, Charlotte, Bruyère, Olivier, Burlet, Nansa, Chandran, Manju, da Silva, Mario Coelho, Conaghan, Philip G., Dere, Willard H., Diez-Perez, Adolfo, Hadji, Peyman, Halbout, Philippe, Hiligsmann, Mickaël, Kanis, John A., McCloskey, Eugene V., Ormarsdottir, Sif, Prieto-Alhambra, Daniel, Radermecker, Régis P., Rizzoli, René, Al-Saleh, Yousef, Silverman, Stuart L., Simon, Lee S., Thomasius, Friederike, van Staa, Tjeerd, Laslop, Andrea, Cooper, Cyrus, and Harvey, Nicholas C.

Published
2023
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10. Examining the impact of data quality and completeness of electronic health records on predictions of patients risks of cardiovascular disease

Author

Li, Yan, Sperrin, Matthew, Martin, Glen P., Ashcroft, Darren M, and van Staa, Tjeerd Pieter

Subjects
Statistics - Applications, Statistics - Methodology, 62N01
Abstract

The objective is to assess the extent of variation of data quality and completeness of electronic health records and impact on the robustness of risk predictions of incident cardiovascular disease (CVD) using a risk prediction tool that is based on routinely collected data (QRISK3). The study design is a longitudinal cohort study with a setting of 392 general practices (including 3.6 million patients) linked to hospital admission data. Variation in data quality was assessed using Saez stability metrics quantifying outlyingness of each practice. Statistical frailty models evaluated whether accuracy of QRISK3 predictions on individual predictions and effects of overall risk factors (linear predictor) varied between practices. There was substantial heterogeneity between practices in CVD incidence unaccounted for by QRISK3. In the lowest quintile of statistical frailty, a QRISK3 predicted risk of 10% for female was in a range between 7.1% and 9.0% when incorporating practice variability into the statistical frailty models; for the highest quintile, this was 10.9%-16.4%. Data quality (using Saez metrics) and completeness were comparable across different levels of statistical frailty. For example, recording of missing information on ethnicity was 55.7%, 62.7%, 57.8%, 64.8% and 62.1% for practices from lowest to highest quintiles of statistical frailty respectively. The effects of risk factors did not vary between practices with little statistical variation of beta coefficients. In conclusion, the considerable unmeasured heterogeneity in CVD incidence between practices was not explained by variations in data quality or effects of risk factors. QRISK3 risk prediction should be supplemented with clinical judgement and evidence of additional risk factors., Comment: 2 tables 4 figures in the main manuscript, 1 table 3 figure in appendix. Online published in IJMI, license CC-BY-NC-ND

Published
2019
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11. Using marginal structural models to adjust for treatment drop-in when developing clinical prediction models

Author

Sperrin, Matthew, Martin, Glen, Van Staa, Tjeerd, Peek, Niels, and Buchan, Iain

Subjects
Statistics - Methodology
Abstract

Objectives: Clinical prediction models (CPMs) can inform decision-making concerning treatment initiation. Here, one requires predicted risks assuming that no treatment is given. This is challenging since CPMs are often derived in datasets where patients receive treatment; moreover, treatment can commence post-baseline - treatment drop-ins. This study presents a novel approach of using marginal structural models (MSMs) to adjust for treatment drop-in. Study Design and Setting: We illustrate the use of MSMs in the CPM framework through simulation studies, representing randomised controlled trials and observational data. The simulations include a binary treatment and a covariate, each recorded at two timepoints and having a prognostic effect on a binary outcome. The bias in predicted risk was examined in a model ignoring treatment, a model fitted on treatment na\"ive patients (at baseline), a model including baseline treatment, and the MSM. Results: In all simulation scenarios, all models except the MSM under-estimated the risk of outcome given absence of treatment. Consequently, CPMs that do not acknowledge treatment drop-in can lead to under-allocation of treatment. Conclusion: When developing CPMs to predict treatment-na\"ive risk, authors should consider using MSMs to adjust for treatment drop-in. MSMs also allow estimation of individual treatment effects.

Published
2017

13. The successful uptake and sustainability of rapid infectious disease and antimicrobial resistance point-of-care testing requires a complex ‘mix-and-match’ implementation package

Author

Hays, John P., Mitsakakis, Konstantinos, Luz, Saturnino, van Belkum, Alex, Becker, Karsten, van den Bruel, Ann, Harbarth, Stephan, Rex, John H., Simonsen, Gunnar Skov, Werner, Guido, Di Gregori, Valentina, Lüdke, Gerd, van Staa, Tjeerd, Moran-Gilad, Jacob, Bachmann, Till T., and on behalf of the JPIAMR AMR-RDT consortium

Published
2019
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16. What are the benefits and harms of risk stratified screening as part of the NHS breast screening Programme? Study protocol for a multi-site non-randomised comparison of BC-predict versus usual screening (NCT04359420)

Author

French, David P., Astley, Susan, Brentnall, Adam R., Cuzick, Jack, Dobrashian, Richard, Duffy, Stephen W., Gorman, Louise S., Harkness, Elaine F., Harrison, Fiona, Harvie, Michelle, Howell, Anthony, Jerrison, Andrew, Machin, Matthew, Maxwell, Anthony J., McWilliams, Lorna, Payne, Katherine, Qureshi, Nadeem, Ruane, Helen, Sampson, Sarah, Stavrinos, Paula, Thorpe, Emma, Ulph, Fiona, van Staa, Tjeerd, Woof, Victoria, and Evans, D. Gareth

Published
2020
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20. Response to: 'Correspondence on 'Concomitant use of oral glucocorticoids and proton pump inhibitors and risk of osteoporotic fractures among patients with rheumatoid arthritis: a population-based cohort study' by Zheng

Author

Abtahi, Shahab, Driessen, Johanna H M, Burden, Andrea M, Souverein, Patrick C, van den Bergh, Joop P, van Staa, Tjeerd P, Boonen, Annelies, de Vries, Frank, Abtahi, Shahab, Driessen, Johanna H M, Burden, Andrea M, Souverein, Patrick C, van den Bergh, Joop P, van Staa, Tjeerd P, Boonen, Annelies, and de Vries, Frank

Published
2023

21. Response to: 'Correspondence on 'Concomitant use of oral glucocorticoids and proton pump inhibitors and risk of osteoporotic fractures among patients with rheumatoid arthritis: a population-based cohort study' by Zheng

Author

Pharmacoepidemiology and Clinical Pharmacology, Afd Pharmacoepi & Clinical Pharmacology, PECP - Centre for Pharmacoepidemiology, Abtahi, Shahab, Driessen, Johanna H M, Burden, Andrea M, Souverein, Patrick C, van den Bergh, Joop P, van Staa, Tjeerd P, Boonen, Annelies, de Vries, Frank, Pharmacoepidemiology and Clinical Pharmacology, Afd Pharmacoepi & Clinical Pharmacology, PECP - Centre for Pharmacoepidemiology, Abtahi, Shahab, Driessen, Johanna H M, Burden, Andrea M, Souverein, Patrick C, van den Bergh, Joop P, van Staa, Tjeerd P, Boonen, Annelies, and de Vries, Frank

Published
2023

23. Risk of Falls and Fractures in Individuals With Cataract, Age-Related Macular Degeneration, or Glaucoma

Author

Tsang, Jung Yin, Wright, Alison, Carr, Matthew J., Dickinson, Christine, Harper, Robert A., Kontopantelis, Evangelos, Van Staa, Tjeerd, Munford, Luke, Blakeman, Thomas, and Ashcroft, Darren M.

Abstract

IMPORTANCE: Three leading disease causes of age-related visual loss are cataract, age-related macular degeneration (AMD), and glaucoma. Although all 3 eye diseases have been implicated with falls and fracture risk, evidence is mixed, with the contribution of different eye diseases being uncertain. OBJECTIVE: To examine whether people with cataract, AMD, or glaucoma have higher risks of falls or fractures than those without. DESIGN, SETTING, AND PARTICIPANTS: This cohort study was a population-based study in England using routinely collected electronic health records from the Clinical Practice Research Datalink (CPRD) GOLD and Aurum primary care databases with linked hospitalization and mortality records from 2007 to 2020. Participants were people with cataract, AMD, or glaucoma matched to comparators (1:5) by age, sex, and general practice. Data were analyzed from May 2021 to June 2023. EXPOSURES: For each eye disease, we estimated the risk of falls or fractures using separate multivariable Cox proportional hazards regression models. MAIN OUTCOMES: Two primary outcomes were incident falls and incident fractures derived from general practice, hospital, and mortality records. Secondary outcomes were incident fractures of specific body sites. RESULTS: A total of 410 476 people with cataract, 75 622 with AMD, and 90 177 with glaucoma were matched (1:5) to 2 034 194 (no cataract), 375 548 (no AMD), and 448 179 (no glaucoma) comparators. The mean (SD) age was 73.8 (11.0) years, 79.4 (9.4) years, and 69.8 (13.1) years for participants with cataract, AMD, or glaucoma, respectively. Compared with comparators, there was an increased risk of falls in those with cataract (adjusted hazard ratio [HR], 1.36; 95% CI, 1.35-1.38), AMD (HR, 1.25; 95% CI, 1.23-1.27), and glaucoma (HR, 1.38; 95% CI, 1.35-1.41). Likewise for fractures, there were increased risks in all eye diseases, with an HR of 1.28 (95% CI, 1.27-1.30) in the cataract cohort, an HR of 1.18 (95% CI, 1.15-1.21) for AMD, and an HR of 1.31 (95% CI, 1.27-1.35) for glaucoma. Site-specific fracture analyses revealed increases in almost all body sites (including hip, spine, forearm, skull or facial bones, pelvis, ribs or sternum, and lower leg fractures) compared with matched comparators. CONCLUSIONS AND RELEVANCE: The results of this study support recognition that people with 1 or more of these eye diseases are at increased risk of both falls and fractures. They may benefit from improved advice, access, and referrals to falls prevention services.

Published
2024
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29. Antibiotics for Common Infections in Primary Care Before, During and after the COVID-19 Pandemic and Extent of Risk-Based Prescribing: Need for Personalised Guidelines

Author

Fahmi, Ali, primary, Yang, Ya-Ting, additional, Zhong, Xiaomin, additional, Pate, Alexander, additional, Sharma, Anita, additional, Watts, Simon, additional, Ashcroft, Darren, additional, Goldacre, Ben, additional, Mackenna, Brian, additional, Massey, Jon, additional, Mehrkar, Amir, additional, Bacon, Sebastian, additional, Dark, Paul, additional, Hand, Kieran, additional, Palin, Victoria, additional, and Van Staa, Tjeerd P., additional

Published
2023
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33. Additional file 4 of Clinician acceptability of an antibiotic prescribing knowledge support system for primary care: a mixed-method evaluation of features and context

Author

Hurley, Ruth, Jury, Francine, van Staa, Tjeerd P., Palin, Victoria, and Armitage, Christopher J.

Abstract

Additional file 4: Supplementary file 4. Summary of raw data sources. Table S4.1. Quantitative data sources (data collated in Excel and IBM SPSS v25). Table S4.2. Qualitative data sources (uploaded to NVIVO 12+).

Published
2023
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35. Additional file 5 of Clinician acceptability of an antibiotic prescribing knowledge support system for primary care: a mixed-method evaluation of features and context

Author

Hurley, Ruth, Jury, Francine, van Staa, Tjeerd P., Palin, Victoria, and Armitage, Christopher J.

Abstract

Additional file 5: Supplementary file 5. Suggestions to enhance intervention acceptability and user capability, opportunities and motivators. Table S5.1. Features to address clinician concerns (focal issues). Table S5.2. Suggestions to address clinician requirements. Table S5.3. Clinicians’ suggested features to include.

Published
2023
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39. The impact of COVID-19 on antibiotic prescribing in primary care in England: Evaluation and risk prediction of appropriateness of type and repeat prescribing.

Author

Zhong, Xiaomin, Pate, Alexander, Yang, Ya-Ting, Fahmi, Ali, Ashcroft, Darren M., Goldacre, Ben, MacKenna, Brian, Mehrkar, Amir, Bacon, Sebastian C.J., Massey, Jon, Fisher, Louis, Inglesby, Peter, Hand, Kieran, van Staa, Tjeerd, and Palin, Victoria

Abstract

This study aimed to predict risks of potentially inappropriate antibiotic type and repeat prescribing and assess changes during COVID-19. With the approval of NHS England, we used OpenSAFELY platform to access the TPP SystmOne electronic health record (EHR) system and selected patients prescribed antibiotics from 2019 to 2021. Multinomial logistic regression models predicted patient's probability of receiving inappropriate antibiotic type or repeat antibiotic course for each common infection. The population included 9.1 million patients with 29.2 million antibiotic prescriptions. 29.1% of prescriptions were identified as repeat prescribing. Those with same day incident infection coded in the EHR had considerably lower rates of repeat prescribing (18.0%) and 8.6% had potentially inappropriate type. No major changes in the rates of repeat antibiotic prescribing during COVID-19 were found. In the 10 risk prediction models, good levels of calibration and moderate levels of discrimination were found. Our study found no evidence of changes in level of inappropriate or repeat antibiotic prescribing after the start of COVID-19. Repeat antibiotic prescribing was frequent and varied according to regional and patient characteristics. There is a need for treatment guidelines to be developed around antibiotic failure and clinicians provided with individualised patient information. [ABSTRACT FROM AUTHOR]

Published
2023
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40. Protocol for the development of a CONSORT extension for RCTs using cohorts and routinely collected health data

Author

Kwakkenbos, Linda, Juszczak, Edmund, Hemkens, Lars G, Sampson, Margaret, Fröbert, Ole, Relton, Clare, Gale, Chris, Zwarenstein, Merrick, Langan, Sinéad M, Moher, David, Boutron, Isabelle, Ravaud, Philippe, Campbell, Marion K, Mc Cord, Kimberly A, van Staa, Tjeerd P, Thabane, Lehana, Uher, Rudolf, Verkooijen, Helena M, Benchimol, Eric I, Erlinge, David, Sauvé, Maureen, Torgerson, David, and Thombs, Brett D

Published
2018
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43. Low-dose oral glucocorticoid therapy and risk of osteoporotic fractures in patients with rheumatoid arthritis: a cohort study using the Clinical Practice Research Datalink

Author

Abtahi, Shahab, Driessen, Johanna H M, Burden, Andrea M, Souverein, Patrick C, van den Bergh, Joop P, van Staa, Tjeerd P, Boonen, Annelies, de Vries, Frank, Abtahi, Shahab, Driessen, Johanna H M, Burden, Andrea M, Souverein, Patrick C, van den Bergh, Joop P, van Staa, Tjeerd P, Boonen, Annelies, and de Vries, Frank

Abstract

OBJECTIVES: Clinical trials have shown that low-dose glucocorticoid therapy in patients with rheumatoid arthritis (RA) reduces bone loss in hands or hip, but the effect on osteoporotic fractures is not yet clear. Therefore, we investigated the use of low-dose oral glucocorticoids and risk of osteoporotic fractures among patients with RA.METHODS: This was a cohort study including patients with RA aged 50+ years from the Clinical Practice Research Datalink between 1997-2017. Exposure to oral glucocorticoids was stratified by the most recent prescription in current (<6 months), recent (7-12 months), and past (>1 year) use, and average daily and cumulative doses. Risk of incident osteoporotic fractures (including hip, vertebrae, humerus, forearm, pelvis, and ribs) were estimated by time-dependent Cox proportional-hazards models, adjusted for life-style parameters, comorbidities, and comedications. Secondary analyses assessed osteoporotic fracture risk with a combination of average daily and cumulative doses of oral glucocorticoids.RESULTS: Among 15 123 patients with RA (mean age 68.8 years, 68% females), 1640 osteoporotic fractures occurred. Current low-dose oral glucocorticoid therapy (≤7.5 mg prednisolone equivalent/day) in patients with RA was not associated with overall risk of osteoporotic fractures (adjusted hazard ratio 1.14, 95% CI 0.98-1.33) compared with past glucocorticoid use, but was associated with an increased risk of clinical vertebral fracture (adjusted hazard ratio 1.59, 95% CI 1.11-2.29). Results remained unchanged regardless of a short-term or a long-term use of oral glucocorticoids.CONCLUSION: Clinicians should be aware that even in RA patients who receive low daily glucocorticoid doses, the risk of clinical vertebral fracture is increased.

Published
2022

44. Low-dose oral glucocorticoid therapy and risk of osteoporotic fractures in patients with rheumatoid arthritis: a cohort study using the Clinical Practice Research Datalink

Author

Afd Pharmacoepi & Clinical Pharmacology, Pharmacoepidemiology and Clinical Pharmacology, PECP - Centre for Pharmacoepidemiology, Abtahi, Shahab, Driessen, Johanna H M, Burden, Andrea M, Souverein, Patrick C, van den Bergh, Joop P, van Staa, Tjeerd P, Boonen, Annelies, de Vries, Frank, Afd Pharmacoepi & Clinical Pharmacology, Pharmacoepidemiology and Clinical Pharmacology, PECP - Centre for Pharmacoepidemiology, Abtahi, Shahab, Driessen, Johanna H M, Burden, Andrea M, Souverein, Patrick C, van den Bergh, Joop P, van Staa, Tjeerd P, Boonen, Annelies, and de Vries, Frank

Published
2022

45. A first step towards best practice recommendations for the design and statistical analyses of pragmatic clinical trials: a modified Delphi approach

Author

Palin, Victoria, Van Staa, Tjeerd P, Steels, Stephanie, Troxel, Andrea B, Groenwold, Rolf HH, MacDonald, Tom M, Torgerson, David, Faries, Douglas, Mancini, Pierre, Ouwens, Mario, Frith, Lucy J, Tsirtsonis, Kate, MacLennan, Graham, Nordon, Clementine, Palin, Victoria, Van Staa, Tjeerd P, Steels, Stephanie, Troxel, Andrea B, Groenwold, Rolf HH, MacDonald, Tom M, Torgerson, David, Faries, Douglas, Mancini, Pierre, Ouwens, Mario, Frith, Lucy J, Tsirtsonis, Kate, MacLennan, Graham, and Nordon, Clementine

Abstract

Aim: Pragmatic clinical trials (PCTs) are randomized trials implemented through routine clinical practice, where design parameters of traditional randomized controlled trials are modified to increase generalizability. However, this may introduce statistical challenges. We aimed to identify these challenges and discuss possible solutions leading to best practice recommendations for the design and analysis of PCTs. Methods: A modified Delphi method was used to reach consensus among a panel of 11 experts in clinical trials and statistics. Statistical issues were identified in a focused literature review and aggregated with insights and possible solutions from experts collected through a series of survey iterations. Issues were ranked according to their importance. Results: Twenty-seven articles were included and combined with experts' insight to generate a list of issues categorized into participants, recruiting sites, randomization, blinding and intervention, outcome (selection and measurement) and data analysis. Consensus was reached about the most important issues: risk of participants' attrition, heterogeneity of “usual care” across sites, absence of blinding, use of a subjective endpoint and data analysis aligned with the trial estimand. Potential issues should be anticipated and preferably be addressed in the trial protocol. The experts provided solutions regarding data collection and data analysis, which were considered of equal importance. Discussion: A set of important statistical issues in PCTs was identified and approaches were suggested to anticipate and/or minimize these through data analysis. Any impact of choosing a pragmatic design feature should be gauged in the light of the trial estimand.

Published
2022

48. Primary Prevention of Cardiovascular and Heart Failure Events With SGLT2 Inhibitors, GLP-1 Receptor Agonists, and Their Combination in Type 2 Diabetes

Author

Wright, Alison K., primary, Carr, Matthew J., additional, Kontopantelis, Evangelos, additional, Leelarathna, Lalantha, additional, Thabit, Hood, additional, Emsley, Richard, additional, Buchan, Iain, additional, Mamas, Mamas A., additional, van Staa, Tjeerd P., additional, Sattar, Naveed, additional, Ashcroft, Darren M., additional, and Rutter, Martin K., additional

Published
2022
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50. Understanding inconsistency in the results from observational pharmacoepidemiological studies: the case of antidepressant use and risk of hip/femur fractures

Author

Souverein, Patrick C., Abbing-Karahagopian, Victoria, Martin, Elisa, Huerta, Consuelo, de Abajo, Francisco, Leufkens, Hubert G. M., Candore, Gianmario, Alvarez, Yolanda, Slattery, Jim, Miret, Montserrat, Requena, Gema, Gil, Miguel J., Groenwold, Rolf H. H., Reynolds, Robert, Schlienger, Raymond G., Logie, John W., de Groot, Mark C. H., Klungel, Olaf H., van Staa, Tjeerd P., Egberts, Toine C. G., De Bruin, Marie L., and Gardarsdottir, Helga

Published
2016
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