647 results on '"Morris, Tim P."'
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102. Speaking Stata: The joy of sets: Graphical alternatives to Euler and Venn diagrams.
103. Involving patients and the public In sTatistIcal Analysis pLans (INITIAL): A delphi survey
104. The canonical transformation and massive CSW vertices for MHV-SQCD
105. The MHV QCD Lagrangian
106. Shack-Hartmann sensor improvement using optical binning
107. S-Matrix Equivalence Theorem Evasion and Dimensional Regularisation with the Canonical MHV Lagrangian
108. Manifestly Gauge Invariant QCD
109. Manifestly Gauge Invariant Exact Renormalization Group
110. Structure of the MHV-rules Lagrangian
111. The Structure of the MHV-rules Lagrangian
112. Gauge Invariant Regularization in the AdS/CFT Correspondence and Ghost D-branes
113. A Manifestly Gauge Invariant, Continuum Calculation of the SU(N) Yang-Mills two-loop beta function
114. A Generalised Manifestly Gauge Invariant Exact Renormalisation Group for SU(N) Yang-Mills
115. Manifestly gauge invariant QED
116. Equivalence of Local Potential Approximations
117. Re-randomization increased recruitment and provided similar treatment estimates as parallel designs in trials of febrile neutropenia
118. Renormalizable extra-dimensional models
119. The Gauge Invariant ERG
120. Exact scheme independence at two loops
121. A proposal for a manifestly gauge invariant and universal calculus in Yang-Mills theory
122. Towards a manifestly gauge invariant and universal calculus for Yang-Mills theory
123. Manifestly gauge invariant computations
124. A manifestly gauge invariant exact renormalization group
125. A demonstration of scheme independence in scalar ERGs
126. Exact scheme independence at one loop
127. Gauge invariant regularisation via SU(N|N)
128. An exact RG formulation of quantum gauge theory
129. Scheme independence as an inherent redundancy in quantum field theory
130. Convergence of derivative expansions in scalar field theory
131. Exact Scheme Independence
132. A gauge invariant exact renormalization group II
133. A gauge invariant exact renormalization group I
134. Convergence of derivative expansions of the renormalization group
135. Simulation Studies for Methodological Research in Psychology: A Standardized Template for Planning, Preregistration, and Reporting
136. How to check a simulation study
137. Comment on Oberman & Vink: Should we fix or simulate the complete data in simulation studies evaluating missing data methods?
138. The marginality principle revisited: Should “higher‐order” terms always be accompanied by “lower‐order” terms in regression analyses?
139. A new approach to evaluating loop inconsistency in network meta‐analysis
140. Multiple Imputation and its Application 2e
141. MOSAIC on the ELT: front-end and instrument AITV planification
142. ADDRESSED TO SCIENCE: POETRY, PERSONIFICATION AND METAPHOR.
143. A manifestly gauge invariant exact renormalization group
144. Elements of the Continuous Renormalization Group
145. Collider bias undermines our understanding of COVID-19 disease risk and severity
146. Analysis of multicenter clinical trials with very low event rates
147. Treatment estimands in clinical trials of patients hospitalised for COVID-19: ensuring trials ask the right questions
148. A four-step strategy for handling missing outcome data in randomised trials affected by a pandemic
149. How are missing data in covariates handled in observational time-to-event studies in oncology? A systematic review
150. New Developments in the Continuous Renormalization Group
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