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3. Diagnostics for a two-stage joint survival model.

6. Analysis of Missing Data in Progressed Learners: The Use of Multiple Imputation Methods.

11. Selection and pattern mixture models for modelling longitudinal data with dropout: An application study

12. A frequentist approach to estimating the force of infection and the recovery rate for a respiratory disease among infants in coastal Kenya

14. Selection and pattern mixture models for modelling longitudinal data with dropout: An application study

15. A nonlinear mixed-effects model for multivariate longitudinal data with partially observed outcomes with application to HIV disease dynamics.

16. Multiple imputation for ordinal longitudinal data with monotone missing data patterns.

17. A simulation model of African Anopheles ecology and population dynamics for the analysis of malaria transmission

19. Ticks and tick-borne diseases: a vector-host interaction model for the brown ear tick (Rhipicephalus appendiculatus).

23. Prevalence and risk factors of malaria in Ethiopia

24. A simulation model of African Anopheles ecology and population dynamics for the analysis of malaria transmission

25. Factors of acute respiratory infection among under-five children across sub-Saharan African countries using machine learning approaches.

26. The future of public health doctoral education in Africa: transforming higher education institutions to enhance research and practice.

27. Investigating the effects of cytokine biomarkers on HIV incidence: a case study for individuals randomized to pre-exposure prophylaxis vs. control.

28. Mapping regional variability of exclusive breastfeeding and its determinants at different infant's age in Tanzania.

29. Determining classes of food items for health requirements and nutrition guidelines using Gaussian mixture models.

30. Trends of Exclusive Breastfeeding Practices and Its Determinants in Tanzania from 1999 to 2016.

31. Multiple imputation using chained equations for missing data in survival models: applied to multidrug-resistant tuberculosis and HIV data.

32. A multivariate joint model to adjust for random measurement error while handling skewness and correlation in dietary data in an epidemiologic study of mortality.

33. Modeling of correlated cognitive function and functional disability outcomes with bounded and missing data in a longitudinal aging study.

34. Bayesian spatio-temporal modelling and mapping of malaria and anaemia among children between 0 and 59 months in Nigeria.

35. Role of clusters in exclusive breastfeeding practices in Tanzania: A secondary analysis study using demographic and health survey data (2015/2016).

36. Spatial variation and risk factors of malaria and anaemia among children aged 0 to 59 months: a cross-sectional study of 2010 and 2015 datasets.

37. Statistical Methods for the Analysis of Food Composition Databases: A Review.

38. Use of a deep learning and random forest approach to track changes in the predictive nature of socioeconomic drivers of under-5 mortality rates in sub-Saharan Africa.

39. Dictionary Based Global Twitter Sentiment Analysis of Coronavirus (COVID-19) Effects and Response.

40. Predictors of colorectal cancer survival using cox regression and random survival forests models based on gene expression data.

41. Spatio-temporal modelling of tick life-stage count data with spatially varying coefficients.

42. Identifying Nutrient Patterns in South African Foods to Support National Nutrition Guidelines and Policies.

43. A stacking ensemble deep learning approach to cancer type classification based on TCGA data.

44. Bayesian Spatial Modeling of Anemia among Children under 5 Years in Guinea.

45. Short-term real-time prediction of total number of reported COVID-19 cases and deaths in South Africa: a data driven approach.

46. Developing excellence in biostatistics leadership, training and science in Africa: How the Sub-Saharan Africa Consortium for Advanced Biostatistics (SSACAB) training unites expertise to deliver excellence.

47. Modelling HIV disease process and progression in seroconversion among South Africa women: using transition-specific parametric multi-state model.

48. Multilevel ordinal model for CD4 count trends in seroconversion among South Africa women.

49. Modeling Viral Suppression, Viral Rebound and State-Specific Duration of HIV Patients with CD4 Count Adjustment: Parametric Multistate Frailty Model Approach.

50. Modelling immune deterioration, immune recovery and state-specific duration of HIV-infected women with viral load adjustment: using parametric multistate model.

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