Features reported | Number of papers (N = 82) (%) |
---|---|
Was the amount of missing data reported? | |
Yes | 66 (80%) |
  Missing data reported for each follow-up wave used in the analysis | 35 |
  A general statement was made about the amount of missing data or the amount of completed follow-up (how many participants attended at least one wave or only the final follow-up wave) | 22 |
  Indicated number that completed all waves of follow-up (i.e. number included in final sample) | 6 |
  Indicated amount missing for certain (key) variables | 3 |
No | 16 (20%) |
Assessed differences between individuals with complete data and those with incomplete data? | |
Yes | 26 (32%) |
  Provided a table comparing distributions of key exposures and outcome variables for those with missing and non-missing information | 6 |
  Table not provided but some summary statistics included in text | 4 |
  General comment provided (did not include a table or summary statistics or included p-values only) | 16 |
No | 56 (69%) |
Reasons were given for the missing data | 13 (16%) |
Statistical method for handling missing data†|  |
Method not stated | 14 (16%) |
  Complete-case analysis assumed | 9 (11%) |
Complete-case analysis | 54 (66%) |
  Weighted | 1 |
  Unweighted | 53 |
   Exclude participants with missing data at any repeated waves of exposure | 38 |
   Exclude participant data record for waves of data collection with missing exposure data††| 15 |
Missing Indicator Method | 1 (1%) |
Mean value substitution | 3 (4%) |
Last Observation Carried Forward | 7 (9%) |
Multiple Imputation | 5 (6%) |
  Details provided for the multiple imputation: | |
  Indicated how many imputations were performed | 4 |
  Indicated which variables were included in the imputation model | 2 |
  Compared results from multiple imputation with complete case analysis | 3 |
  Performed a sensitivity analysis under different assumptions for missing data | 4 |
Fully Bayesian Model | 1 (1%) |