Identifying frequencies and patterns of missing values and preliminary cleaning of missing data are common and fundamental parts of statistical data management. I offer a new command, missings, as a replacement for, and extension of, my previous commands nmissing (Cox 1999, Stata Technical Bulletin 49: 7–8; 2001a, Stata Technical Bulletin 60: 2–3; 2003, Stata Journal 3: 449; 2005, Stata Journal 5: 607) and dropmiss (Cox 2001b, Stata Technical Bulletin 60: 7–8; 2008, Stata Journal 8: 594). I also make comparisons with similar commands.
AltmanD. G.1991. Practical Statistics for Medical Research.London: Chapman & Hall.
2.
CoxN. J.1999. dm67: Numbers of missing and present values. Stata Technical Bulletin49: 7–8. Reprinted in Stata Technical Bulletin Reprints, vol. 9, pp. 26–27. College Station, TX: Stata Press.
3.
CoxN. J.2001a. dm67.1: Enhancements to numbers of missing and present values. Stata Technical Bulletin60: 2–3. Reprinted in Stata Technical Bulletin Reprints, vol. 10, pp. 7–9. College Station, TX: Stata Press.
4.
CoxN. J.2001b. dm89: Dropping variables or observations with missing values. Stata Technical Bulletin60: 7–8. Reprinted in Stata Technical Bulletin Reprints, vol. 10, pp. 44–46. College Station, TX: Stata Press.
5.
CoxN. J.2003. Software Updates: dm67_2: Numbers of missing and present values. Stata Journal3: 449.
6.
CoxN. J.2005. Software Updates: dm67_3: Numbers of missing and present values. Stata Journal5: 607.
7.
CoxN. J.2008. Software Updates: dm89_1: Dropping variables or observations with missing values. Stata Journal8: 594.
8.
CoxN. J.2010a. Software Updates: dm0048_1: Finding variables. Stata Journal10: 691–692.
9.
CoxN. J.2010b. Speaking Stata: Finding variables. Stata Journal10: 281–296.
10.
CoxN. J.2012. Software Updates: dm0048_2: Finding variables. Stata Journal12: 167.
11.
CoxN. J.2015. Software Updates: dm0048_3: Finding variables. Stata Journal15: 605–606.
12.
LongJ. S.2009. The Workflow of Data Analysis Using Stata.College Station, TX: Stata Press.
