| P50 | author | Daeria Lawson | Q59099740 |
| | Russell de Souza | Q47811825 |
| P2093 | author name string | Kevin Cheung | |
| | Bradley C Johnston | |
| | Shrikant I Bangdiwala | |
| | Dena Zeraatkar | |
| | Arnav Gupta | |
| | Jessica J Bartoszko | |
| | Kirolos Milio | |
| | Max Zworth | |
| | Arrti Bhasin | |
| | Michel Kiflen | |
| | Rita E Morassut | |
| | Salmi T Noor | |
| P2860 | cites work | Confounding in publications of observational intervention studies. | Q53022037 |
| | Priority issues, study designs and geographical distribution in nutrition journals. | Q53097912 |
| | Control of Confounding and Reporting of Results in Causal Inference Studies: Guidance for Authors from Editors of Respiratory, Sleep, and Critical Care Journals | Q57091403 |
| | Ramadan fasting alters food patterns, dietary diversity and body weight among Ghanaian adolescents | Q58788556 |
| | Predictors of drop-out in overweight and obese outpatients | Q60441354 |
| | Assessing the sensitivity of regression results to unmeasured confounders in observational studies | Q77338498 |
| | Causal diagrams for epidemiologic research | Q77794178 |
| | The value of statistical analysis plans in observational research: defining high-quality research from the start | Q84840329 |
| | The C-Word: Scientific Euphemisms Do Not Improve Causal Inference From Observational Data | Q88131249 |
| | Limitations and Misinterpretations of E-Values for Sensitivity Analyses of Observational Studies | Q90827000 |
| | Penalization, bias reduction, and default priors in logistic and related categorical and survival regressions. | Q40901253 |
| | The impact of confounder selection criteria on effect estimation | Q43670469 |
| | Invited commentary: variable selection versus shrinkage in the control of multiple confounders | Q46164613 |
| | Adherence to a dietary fat intake reduction program in postmenopausal women receiving therapy for early breast cancer. The Women's Intervention Nutrition Study | Q46191112 |
| | A large randomized individual and group intervention conducted by registered dietitians increased adherence to Mediterranean-type diets: the PREDIMED study. | Q46511623 |
| | Quality assessment of nutrition coverage in the media: a 6-week survey of five popular UK newspapers | Q47183861 |
| | Interpretation of epidemiologic studies very often lacked adequate consideration of confounding | Q47550752 |
| | On model selection and model misspecification in causal inference | Q49083477 |
| | Reporting on statistical methods to adjust for confounding: a cross-sectional survey. | Q52048595 |
| | An improper use of statistical significance testing in studying covariables. | Q52783125 |
| | Simulation study of confounder-selection strategies. | Q52884423 |
| | Quantifying biases in causal models: classical confounding vs collider-stratification bias. | Q52953016 |
| | The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies | Q21092368 |
| | Media coverage of medical journals: do the best articles make the news? | Q24288686 |
| | Placing epidemiological results in the context of multiplicity and typical correlations of exposures | Q24289033 |
| | Assessment of vibration of effects due to model specification can demonstrate the instability of observational associations | Q24289437 |
| | Problems due to small samples and sparse data in conditional logistic regression analysis | Q30586978 |
| | The development and validation of an instrument to measure the quality of health research reports in the lay media | Q33582251 |
| | Variable selection for propensity score models | Q34803815 |
| | Effects of adjusting for instrumental variables on bias and precision of effect estimates | Q35661934 |
| | Confounding: what is it and how do we deal with it? | Q35847892 |
| | Issues in the reporting of epidemiological studies: a survey of recent practice | Q35911307 |
| | Outcome modelling strategies in epidemiology: traditional methods and basic alternatives | Q35995075 |
| | Sparse data bias: a problem hiding in plain sight | Q36001227 |
| | Systematic review of long-term weight loss studies in obese adults: clinical significance and applicability to clinical practice | Q36183802 |
| | Sensitivity Analysis Without Assumptions | Q36764748 |
| | Perspective: Randomized Controlled Trials Are Not a Panacea for Diet-Related Research | Q36890336 |
| | Quality Reporting of Multivariable Regression Models in Observational Studies: Review of a Representative Sample of Articles Published in Biomedical Journals | Q36993092 |
| | Poor quality of reporting confounding bias in observational intervention studies: a systematic review | Q37240672 |
| | Variable selection: current practice in epidemiological studies | Q37469151 |
| | A review of covariate selection for non-experimental comparative effectiveness research. | Q38134365 |
| | Introduction to causal diagrams for confounder selection | Q38180514 |
| | A new criterion for confounder selection | Q38295854 |
| | Statistical foundations for model-based adjustments | Q38382772 |
| | Quality of reporting of confounding remained suboptimal after the STROBE guideline | Q38578040 |
| | Use of Causal Diagrams to Inform the Design and Interpretation of Observational Studies: An Example from the Study of Heart and Renal Protection (SHARP). | Q38935256 |
| P275 | copyright license | Creative Commons Attribution-NonCommercial 4.0 International | Q34179348 |
| P6216 | copyright status | copyrighted | Q50423863 |
| P433 | issue | 10 | |
| P921 | main subject | nutritional epidemiology | Q7070522 |
| P304 | page(s) | nzz104 | |
| P577 | publication date | 2019-09-17 | |
| P1433 | published in | Current Developments in Nutrition | Q68836060 |
| P1476 | title | Methods for the Selection of Covariates in Nutritional Epidemiology Studies: A Meta-Epidemiological Review | |
| P478 | volume | 3 | |