Making inferences on treatment effects from real world data: propensity scores, confounding by indication, and other perils for the unwary in observational research.
Department of Primary Care and Population Health, UCL Medical School (Royal Free Campus), London NW3 2PF, UK.
Nick
N
Freemantle
Louise
L
Marston
Kate
K
Walters
John
J
Wood
Matthew R
MR
Reynolds
Irene
I
Petersen
D015982:Bias; D015986:Confounding Factors, Epidemiologic; D006801:Humans; D064887:Observational Studies as Topic / Q000706:statistics & numerical data*; D057216:Propensity Score; D016032:Randomized Controlled Trials as Topic / Q000706:statistics & numerical data*; D015203:Reproducibility of Results; D012106:Research; D012107:Research Design / Q000592:standards*; D016896:Treatment Outcome