Observational research—opportunities and limitations
EJ Boyko - Journal of Diabetes and its Complications, 2013 - Elsevier
Medical research continues to progress in its ability to identify treatments and characteristics
associated with benefits and adverse outcomes. The principal engine for the evaluation of …
associated with benefits and adverse outcomes. The principal engine for the evaluation of …
Epidemiological interpretation of studies examining the effect of antibiotic usage on resistance
V Schechner, E Temkin, S Harbarth… - Clinical microbiology …, 2013 - Am Soc Microbiol
Bacterial resistance to antibiotics is a growing clinical problem and public health threat.
Antibiotic use is a known risk factor for the emergence of antibiotic resistance, but …
Antibiotic use is a known risk factor for the emergence of antibiotic resistance, but …
Propensity score methods for confounding control in nonexperimental research
Background Nonexperimental studies are increasingly used to investigate the safety and
effectiveness of medical products as they are used in routine care. One of the primary …
effectiveness of medical products as they are used in routine care. One of the primary …
[图书][B] Statistics for veterinary and animal science
A Petrie, P Watson - 2013 - books.google.com
Banish your fears of statistical analysis using this clearly written and highly successful
textbook. Statistics for Veterinary and Animal Science Third Edition is an introductory text …
textbook. Statistics for Veterinary and Animal Science Third Edition is an introductory text …
Matching by propensity score in cohort studies with three treatment groups
Background: Nonrandomized pharmacoepidemiology generally compares one medication
with another. For many conditions, clinicians can benefit from comparing the safety and …
with another. For many conditions, clinicians can benefit from comparing the safety and …
Using balance statistics to determine the optimal number of controls in matching studies
A Linden, SJ Samuels - Journal of evaluation in clinical practice, 2013 - Wiley Online Library
When a randomized controlled trial is not feasible, investigators typically turn to matching
techniques as an alternative approach to evaluate the effectiveness of health care …
techniques as an alternative approach to evaluate the effectiveness of health care …
Effect of β blockers on mortality after myocardial infarction in adults with COPD: population based cohort study of UK electronic healthcare records
Objectives To investigate whether the use and timing of prescription of β blockers in patients
with chronic obstructive pulmonary disease (COPD) having a first myocardial infarction was …
with chronic obstructive pulmonary disease (COPD) having a first myocardial infarction was …
13 Matching and Propensity Scores
PM Steiner, D Cook - The Oxford handbook of quantitative …, 2013 - books.google.com
The popularity of matching techniques has increased considerably during the last decades.
They are mainly used for matching treatment and control units to estimate causal treatment …
They are mainly used for matching treatment and control units to estimate causal treatment …
Post-operative acute kidney injury and five-year risk of death, myocardial infarction, and stroke among elective cardiac surgical patients: a cohort study
MK Hansen, H Gammelager, MM Mikkelsen… - Critical care, 2013 - Springer
Introduction The prognostic impact of acute kidney injury (AKI) on long-term clinical
outcomes remains controversial. We examined the five-year risk of death, myocardial …
outcomes remains controversial. We examined the five-year risk of death, myocardial …
Variable selection for propensity score models when estimating treatment effects on multiple outcomes: a simulation study
R Wyss, CJ Girman, RJ LoCasale… - … and drug safety, 2013 - Wiley Online Library
Purpose It is often preferable to simplify the estimation of treatment effects on multiple
outcomes by using a single propensity score (PS) model. Variable selection in PS models …
outcomes by using a single propensity score (PS) model. Variable selection in PS models …