Each month we scan and review the literature to identify new papers describing approaches to active monitoring, signal detection, and other epidemiologic and statistical methods.
Jan and Feb 2020
Does the Encounter Type Matter When Defining Diabetes Complications in Electronic Health Records?
Hong D, Shen Y, Monnette A, Liu S, et al.
Med Care. 2020 Feb 10. doi: 10.1097/MLR.0000000000001297. [Epub ahead of print]
Read More
Doubly robust tests of exposure effects under high-dimensional confounding.
Dukes O, Avagyan V, Vansteelandt S.
Biometrics. 2020 Jan 30. doi: 10.1111/biom.13231. [Epub ahead of print]
Read More
A causal framework for classical statistical estimands in failure-time settings with competing events.
Young JG, Stensrud MJ, Tchetgen Tchetgen EJ, Hernán MA.
Stat Med. 2020 Apr 15;39(8):1199-1236. doi: 10.1002/sim.8471. Epub 2020 Jan 27.
Read More
Improving measurement of binary covariates in claims data: A simulation study.
Connolly JG, Glynn RJ, Schneeweiss S, Gagne JJ.
Pharmacoepidemiol Drug Saf. 2020 Jan 23. doi: 10.1002/pds.4961. [Epub ahead of print]
Read More
Flexibly Accounting For Exposure Misclassification with External Validation Data.
Edwards JK, Cole SR, Fox MP.
Am J Epidemiol. 2020 Jan 23. pii: kwaa011. doi: 10.1093/aje/kwaa011. [Epub ahead of print]
Read More
Comparison of Machine Learning Methods With Traditional Models for Use of Administrative Claims With Electronic Medical Records to Predict Heart Failure Outcomes.
Desai RJ, Wang SV, Vaduganathan M, Evers T, Schneeweiss S.
JAMA Netw Open. 2020 Jan 3;3(1):e1918962. doi: 10.1001/jamanetworkopen.2019.18962.
Read More
Extracting medications and associated adverse drug events using a natural language processing system combining knowledge base and deep learning.
Chen L, Gu Y, Ji X, Sun Z, et al.
J Am Med Inform Assoc. 2020 Jan 1;27(1):56-64. doi: 10.1093/jamia/ocz141.
Read More
2018 n2c2 shared task on adverse drug events and medication extraction in electronic health records.
Henry S, Buchan K, Filannino M, Stubbs A, Uzuner O.
J Am Med Inform Assoc. 2020 Jan 1;27(1):3-12. doi: 10.1093/jamia/ocz166.
Read More
Multiple imputation for systematically missing confounders within a distributed data drug safety network: A simulation study and real-world example.
Secrest MH, Platt RW, Reynier P, et al.
Pharmacoepidemiol Drug Saf. 2020 Jan;29 Suppl 1:35-44. doi: 10.1002/pds.4876. Epub 2019 Sep 4.
Read More
Adverse drug events and medication relation extraction in electronic health records with ensemble deep learning methods.
Christopoulou F, Tran TT, Sahu SK, Miwa M, Ananiadou S.
J Am Med Inform Assoc. 2020 Jan 1;27(1):39-46. doi: 10.1093/jamia/ocz101.
Read More
A study of deep learning approaches for medication and adverse drug event extraction from clinical text.
Wei Q, Ji Z, Li Z, et al.
J Am Med Inform Assoc. 2020 Jan 1;27(1):13-21. doi: 10.1093/jamia/ocz063.
Read More
Extreme restriction design as a method for reducing confounding by indication in pharmacoepidemiologic research.
Secrest MH, Platt RW, Dormuth CR, et al.
Pharmacoepidemiol Drug Saf. 2020 Jan;29 Suppl 1:26-34. doi: 10.1002/pds.4708. Epub 2019 Jan 9.
Read More
Quantitative bias analysis for study and grant planning.
Fox MP, Lash TL.
Ann Epidemiol. 2020 Feb 11. pii: S1047-2797(19)30897-X. doi: 10.1016/j.annepidem.2020.01.013. [Epub ahead of print]
Read More
Variance estimation when using propensity-score matching with replacement with survival or time-to-event outcomes.
Austin PC, Cafri G.
Stat Med. 2020 Feb 28. doi: 10.1002/sim.8502. [Epub ahead of print]
Read More
Propensity scores using missingness pattern information: a practical guide.
Blake HA, Leyrat C, Mansfield KE, et al.
Stat Med. 2020 Feb 27. doi: 10.1002/sim.8503. [Epub ahead of print]
Read More
External Validation of an Algorithm to Identify Patients with High Data-Completeness in Electronic Health Records for Comparative Effectiveness Research.
Lin KJ, Rosenthal GE, Murphy SN, et al.
Clin Epidemiol. 2020 Feb 4;12:133-141. doi: 10.2147/CLEP.S232540.
Read More
Application of the Adaptive Validation Substudy Design to Colorectal Cancer Recurrence.
Collin LJ, Riis AH, MacLehose RF, et al.
Clin Epidemiol. 2020 Feb 3;12:113-121. doi: 10.2147/CLEP.S230314. eCollection 2020.
Read More
Super Learner for Survival Data Prediction.
Golmakani MK, Polley EC.
Int J Biostat. 2020 Feb 22. pii: /j/ijb.ahead-of-print/ijb-2019-0065/ijb-2019-0065.xml. doi: 10.1515/ijb-2019-0065. [Epub ahead of print]
Read More
A nontechnical explanation of the counterfactual definition of confounding.
Bours MJL.
J Clin Epidemiol. 2020 Feb 14;121:91-100. doi: 10.1016/j.jclinepi.2020.01.021. [Epub ahead of print]
Read More
Online randomized controlled experiments at scale: lessons and extensions to medicine.
Kohavi R, Tang D, Xu Y, Hemkens LG, Ioannidis JPA.
Trials. 2020 Feb 7;21(1):150. doi: 10.1186/s13063-020-4084-y.
Read More
On the aggregation of published prognostic scores for causal inference in observational studies.
Nguyen TL, Collins GS, Pellegrini F, Moons KGM, Debray TPA.
Stat Med. 2020 Feb 5. doi: 10.1002/sim.8489. [Epub ahead of print]
Read More
Modeling of cumulative effects of time-varying drug exposures on within-subject changes in a continuous outcome.
Danieli C, Sheppard T, Costello R, Dixon WG, Abrahamowicz M.
Stat Methods Med Res. 2020 Feb 5:962280220902179. doi: 10.1177/0962280220902179. [Epub ahead of print]
Read More
Big Data in the Assessment of Pediatric Medication Safety.
McMahon AW, Cooper WO, Brown JS, et al.
Pediatrics. 2020 Feb;145(2). pii: e20190562. doi: 10.1542/peds.2019-0562. Epub 2020 Jan 14.
Read More
Hong D, Shen Y, Monnette A, Liu S, et al.
Med Care. 2020 Feb 10. doi: 10.1097/MLR.0000000000001297. [Epub ahead of print]
Read More
Doubly robust tests of exposure effects under high-dimensional confounding.
Dukes O, Avagyan V, Vansteelandt S.
Biometrics. 2020 Jan 30. doi: 10.1111/biom.13231. [Epub ahead of print]
Read More
A causal framework for classical statistical estimands in failure-time settings with competing events.
Young JG, Stensrud MJ, Tchetgen Tchetgen EJ, Hernán MA.
Stat Med. 2020 Apr 15;39(8):1199-1236. doi: 10.1002/sim.8471. Epub 2020 Jan 27.
Read More
Improving measurement of binary covariates in claims data: A simulation study.
Connolly JG, Glynn RJ, Schneeweiss S, Gagne JJ.
Pharmacoepidemiol Drug Saf. 2020 Jan 23. doi: 10.1002/pds.4961. [Epub ahead of print]
Read More
Flexibly Accounting For Exposure Misclassification with External Validation Data.
Edwards JK, Cole SR, Fox MP.
Am J Epidemiol. 2020 Jan 23. pii: kwaa011. doi: 10.1093/aje/kwaa011. [Epub ahead of print]
Read More
Comparison of Machine Learning Methods With Traditional Models for Use of Administrative Claims With Electronic Medical Records to Predict Heart Failure Outcomes.
Desai RJ, Wang SV, Vaduganathan M, Evers T, Schneeweiss S.
JAMA Netw Open. 2020 Jan 3;3(1):e1918962. doi: 10.1001/jamanetworkopen.2019.18962.
Read More
Extracting medications and associated adverse drug events using a natural language processing system combining knowledge base and deep learning.
Chen L, Gu Y, Ji X, Sun Z, et al.
J Am Med Inform Assoc. 2020 Jan 1;27(1):56-64. doi: 10.1093/jamia/ocz141.
Read More
2018 n2c2 shared task on adverse drug events and medication extraction in electronic health records.
Henry S, Buchan K, Filannino M, Stubbs A, Uzuner O.
J Am Med Inform Assoc. 2020 Jan 1;27(1):3-12. doi: 10.1093/jamia/ocz166.
Read More
Multiple imputation for systematically missing confounders within a distributed data drug safety network: A simulation study and real-world example.
Secrest MH, Platt RW, Reynier P, et al.
Pharmacoepidemiol Drug Saf. 2020 Jan;29 Suppl 1:35-44. doi: 10.1002/pds.4876. Epub 2019 Sep 4.
Read More
Adverse drug events and medication relation extraction in electronic health records with ensemble deep learning methods.
Christopoulou F, Tran TT, Sahu SK, Miwa M, Ananiadou S.
J Am Med Inform Assoc. 2020 Jan 1;27(1):39-46. doi: 10.1093/jamia/ocz101.
Read More
A study of deep learning approaches for medication and adverse drug event extraction from clinical text.
Wei Q, Ji Z, Li Z, et al.
J Am Med Inform Assoc. 2020 Jan 1;27(1):13-21. doi: 10.1093/jamia/ocz063.
Read More
Extreme restriction design as a method for reducing confounding by indication in pharmacoepidemiologic research.
Secrest MH, Platt RW, Dormuth CR, et al.
Pharmacoepidemiol Drug Saf. 2020 Jan;29 Suppl 1:26-34. doi: 10.1002/pds.4708. Epub 2019 Jan 9.
Read More
Quantitative bias analysis for study and grant planning.
Fox MP, Lash TL.
Ann Epidemiol. 2020 Feb 11. pii: S1047-2797(19)30897-X. doi: 10.1016/j.annepidem.2020.01.013. [Epub ahead of print]
Read More
Variance estimation when using propensity-score matching with replacement with survival or time-to-event outcomes.
Austin PC, Cafri G.
Stat Med. 2020 Feb 28. doi: 10.1002/sim.8502. [Epub ahead of print]
Read More
Propensity scores using missingness pattern information: a practical guide.
Blake HA, Leyrat C, Mansfield KE, et al.
Stat Med. 2020 Feb 27. doi: 10.1002/sim.8503. [Epub ahead of print]
Read More
External Validation of an Algorithm to Identify Patients with High Data-Completeness in Electronic Health Records for Comparative Effectiveness Research.
Lin KJ, Rosenthal GE, Murphy SN, et al.
Clin Epidemiol. 2020 Feb 4;12:133-141. doi: 10.2147/CLEP.S232540.
Read More
Application of the Adaptive Validation Substudy Design to Colorectal Cancer Recurrence.
Collin LJ, Riis AH, MacLehose RF, et al.
Clin Epidemiol. 2020 Feb 3;12:113-121. doi: 10.2147/CLEP.S230314. eCollection 2020.
Read More
Super Learner for Survival Data Prediction.
Golmakani MK, Polley EC.
Int J Biostat. 2020 Feb 22. pii: /j/ijb.ahead-of-print/ijb-2019-0065/ijb-2019-0065.xml. doi: 10.1515/ijb-2019-0065. [Epub ahead of print]
Read More
A nontechnical explanation of the counterfactual definition of confounding.
Bours MJL.
J Clin Epidemiol. 2020 Feb 14;121:91-100. doi: 10.1016/j.jclinepi.2020.01.021. [Epub ahead of print]
Read More
Online randomized controlled experiments at scale: lessons and extensions to medicine.
Kohavi R, Tang D, Xu Y, Hemkens LG, Ioannidis JPA.
Trials. 2020 Feb 7;21(1):150. doi: 10.1186/s13063-020-4084-y.
Read More
On the aggregation of published prognostic scores for causal inference in observational studies.
Nguyen TL, Collins GS, Pellegrini F, Moons KGM, Debray TPA.
Stat Med. 2020 Feb 5. doi: 10.1002/sim.8489. [Epub ahead of print]
Read More
Modeling of cumulative effects of time-varying drug exposures on within-subject changes in a continuous outcome.
Danieli C, Sheppard T, Costello R, Dixon WG, Abrahamowicz M.
Stat Methods Med Res. 2020 Feb 5:962280220902179. doi: 10.1177/0962280220902179. [Epub ahead of print]
Read More
Big Data in the Assessment of Pediatric Medication Safety.
McMahon AW, Cooper WO, Brown JS, et al.
Pediatrics. 2020 Feb;145(2). pii: e20190562. doi: 10.1542/peds.2019-0562. Epub 2020 Jan 14.
Read More
