„Statistical methods“

Suchergebnisse

10.000+ Treffer

• Assessment of water-polluting sources by multivariate statistical methods in Putheri Lake, Kanyakumari, Tamil Nadu, India [08°12′27.1″N 77°25′54.7″E]
  Esakkimuthu, K. ; Vinod Kumar, K. P. ; Ponram, P.
• Trial Sequential Analysis in systematic reviews with meta-analysis
  Wetterslev, Jørn ; Jakobsen, Janus Christian ; Gluud, Christian
• Comparison of statistical methods for subnetwork detection in the integration of gene expression and protein interaction network
  He, Hao ; Lin, Dongdong ; Zhang, Jigang ; Wang, Yu-Ping ; Deng, Hong-Wen
• AIMD - a validated, simplified framework of interventions to promote and integrate evidence into health practices, systems, and policies
  Bragge, Peter ; Grimshaw, Jeremy M. ; Lokker, Cynthia ; Colquhoun, Heather
• A systematic review of studies with a representative sample of refugees and asylum seekers living in the community for participation in mental health research
  Enticott, Joanne C. ; Shawyer, Frances ; Vasi, Shiva ; Buck, Kimberly ; Cheng, I-Hao ; Russell, Grant ; Kakuma, Ritsuko ; Minas, Harry ; Meadows, Graham
• Participant retention practices in longitudinal clinical research studies with high retention rates
  Abshire, Martha ; Dinglas, Victor D. ; Cajita, Maan Isabella A. ; Eakin, Michelle N. ; Needham, Dale M. ; Himmelfarb, Cheryl Dennison
• Leveraging the EHR4CR platform to support patient inclusion in academic studies: challenges and lessons learned
  Girardeau, Yannick ; Doods, Justin ; Zapletal, Eric ; Chatellier, Gilles ; Daniel, Christel ; Burgun, Anita ; Dugas, Martin ; Rance, Bastien
• Test-treatment RCTs are susceptible to bias: a review of the methodological quality of randomized trials that evaluate diagnostic tests
  Ferrante di Ruffano, Lavinia ; Dinnes, Jacqueline ; Sitch, Alice J. ; Hyde, Chris ; Deeks, Jonathan J.
• Predictor characteristics necessary for building a clinically useful risk prediction model: a simulation study
  Schummers, Laura ; Himes, Katherine P. ; Bodnar, Lisa M. ; Hutcheon, Jennifer A.
• National weighting of data from the Behavioral Risk Factor Surveillance System (BRFSS)
  Iachan, Ronaldo ; Pierannunzi, Carol ; Healey, Kristie ; Greenlund, Kurt J. ; Town, Machell
• Improving incidence estimation in practice-based sentinel surveillance networks using spatial variation in general practitioner density
  Souty, Cécile ; Boëlle, Pierre-Yves
• Research waste in diagnostic trials: a methods review evaluating the reporting of test-treatment interventions
  Ferrante di Ruffano, Lavinia ; Dinnes, Jacqueline ; Taylor-Phillips, Sian ; Davenport, Clare ; Hyde, Chris ; Deeks, Jonathan J.
• A comparison of analytic approaches for individual patient data meta-analyses with binary outcomes
  Thomas, Doneal ; Platt, Robert ; Benedetti, Andrea
• Psychometric analysis of the brief symptom inventory 18 (BSI-18) in a representative German sample
  Franke, Gabriele Helga ; Jaeger, Susanne ; Glaesmer, Heide ; Barkmann, Claus ; Petrowski, Katja ; Braehler, Elmar
• Generating evidence on a risk-based monitoring approach in the academic setting – lessons learned
  von Niederhäusern, Belinda ; Orleth, Annette ; Schädelin, Sabine ; Rawi, Nawal ; Velkopolszky, Martin ; Becherer, Claudia ; Benkert, Pascal ; Satalkar, Priya ; Briel, Matthias ; Pauli-Magnus, Christiane
• Self-controlled designs in pharmacoepidemiology involving electronic healthcare databases: a systematic review
  Gault, Nathalie ; Castañeda-Sanabria, Johann ; De Rycke, Yann ; Guillo, Sylvie ; Foulon, Stéphanie ; Tubach, Florence
• Testing a systematic approach to identify and prioritise barriers to successful implementation of a complex healthcare intervention
  Craig, Louise E. ; Churilov, Leonid ; Olenko, Liudmyla ; Cadilhac, Dominique A. ; Grimley, Rohan ; Dale, Simeon ; Martinez-Garduno, Cintia ; McInnes, Elizabeth ; Considine, Julie ; Grimshaw, Jeremy M. ; Middleton, Sandy
• Utilising identifier error variation in linkage of large administrative data sources
  Harron, Katie ; Hagger-Johnson, Gareth ; Gilbert, Ruth ; Goldstein, Harvey
• What impact do assumptions about missing data have on conclusions? A practical sensitivity analysis for a cancer survival registry
  Smuk, M. ; Carpenter, J. R. ; Morris, T. P.
• Estimating cardiovascular disease incidence from prevalence: a spreadsheet based model
  Hu, Xue Feng ; Young, Kue ; Chan, Laurie Hing Man