First of all, we need to expand the data set so the time variable is in the right form. When we expand the data, we will inevitably create missing values for other variables. The second step is to replace the m
to use time-dependent variables to represent the number of days on treatment, to minimise the potential for survival or immortality time bias i.e. must survive to get a drug. I have expanded my data set to create several time points per individual and used a variable to determine whether ...
For models with a single outcome variable, we can lay out our table by specifying dimensionscolnameandresult; in this example, we placed levels ofcolnameon the rows and levels ofresulton the columns of the table. The namecolnamerefers to the column names of the returned matrixe(b), and...
This enabled us to obtain the social dimension rating for the 517 MNBs sampled in 2017. 3.2. Variables 3.2.1. Dependent variable Financial inclusion means the access to and use of financial services by the poor (Allen et al., 2016, Kendall et al., 2010). Previous studies used two ...
we export this state file to a data frame with the help of the functionread_stata. Theindex_colis used to assign an index label to the data frame. The data frame is stored in the variable called df. A brief description of the columns of the data frame is displayed in the last line....
What if there is null value in group? How to assign macro variable only for non-null group? data have; input group $ value; datalines; g1 30 g2 37 g2 76 g3 22 g3 84 g4 15 g4 21 94 g4 73 ; run; 0 Likes Reply Kurt_Bremser Super User R...
and the level of service provision may, in turn, affect the welfare and behaviour of service recipients. To address the endogeneity problem between the production of social services and the costs, we use an Instrumental Variable (IV) strategy based on the factors driving the population’s demand...
In cellH6,copy the following formula. =COUNTIFS(D5:D12,">="&EOMONTH(TODAY(),-2)+1,D5:D12,"<"&EOMONTH(TODAY(),-1)+1) HitEnter. This formula relies on theCOUNTIFSfunction to count dates that are greater than or equal to the current month’s first day and less than the next mo...
In summary, there are several ways to drop observations from a dataset in Stata. The choice of method depends on the type of data and the desired outcome. What dropped variable? A dropped variable is a variable that has been removed or excluded from the dataset during the pre-processing sta...
The Stata Blog Stata Press Stata Journal Home / Resources & support / FAQs / How to calculate power using simulation How can I use Monte Carlo simulations to estimate power in Stata? How can I integrate a simulation program into the power command? Title How to calculate power using simu...