Apa itu Stata?
Ini adalah paket statistik multi-tujuan untuk membantu Anda menjelajahi, meringkas dan menganalisis dataset. • Sebuah dataset adalah kumpulan dari beberapa potong variabel informasi yang disebut (biasanya diatur oleh kolom). Sebuah variabel dapat memiliki satu atau beberapa nilai (informasi untuk satu atau beberapa kasus). • paket statistik lainnya adalah SPSS, SAS dan R. • Stata banyak digunakan dalam penelitian ilmu sosial dan perangkat lunak statistik yang paling sering digunakan.
- ilmu perilaku
- biostatistik
- Ekonomi
- pendidikan
- Epidemiologi
- Keuangan, bisnis, dan pemasaran
- Penelitian medis
- Ilmu Politik
- Kesehatan masyarakat
- Kebijakan publik
- Sosiologi
Stata 14 menyediakan fitur yang semakin lengkap untuk menganalisis data semua bidang ilmu
Bayesian analysis
Thousands of built-in models
Add your own models
Adaptive Metropolis–Hastings
Gibbs sampling
Convergence diagnostics
Posterior summaries
Hypothesis testing
Model comparison
IRT (item response theory)
Binary response models—1PL, 2PL, 3PL
Ordinal response models—graded response, partial credit, rating scale
Nominal response model
Hybrid models
Item characteristic curves
Test characteristic curves
Item information function
Unicode
Add your own models
Adaptive Metropolis–Hastings
Gibbs sampling
Convergence diagnostics
Posterior summaries
Hypothesis testing
Model comparison
IRT (item response theory)
Binary response models—1PL, 2PL, 3PL
Ordinal response models—graded response, partial credit, rating scale
Nominal response model
Hybrid models
Item characteristic curves
Test characteristic curves
Item information function
Unicode
Data
Variable and value labels
Variable names!
Integration with Excel
Variable and value labels
Variable names!
Integration with Excel
Cell formatting
Font formatting
Insert Stata graphs
Create cell formulas
Treatment effects
Font formatting
Insert Stata graphs
Create cell formulas
Treatment effects
Survival outcomes
Endogenous treatments
Balance diagnostics and tests
Sampling weights
Multilevel survival models
Endogenous treatments
Balance diagnostics and tests
Sampling weights
Multilevel survival models
Random effects
Crossed effects
Two, three, higher level
Right censoring
Exponential, Weibull, ...
Survey data
Multilevel models
Crossed effects
Two, three, higher level
Right censoring
Exponential, Weibull, ...
Survey data
Multilevel models
Survey data
Multilevel sampling weights
Survival models
Denominator degrees of freedom
Marginal predictions, means, effects
SEM (structural equation modeling)
Multilevel sampling weights
Survival models
Denominator degrees of freedom
Marginal predictions, means, effects
SEM (structural equation modeling)
Satorra–Bentler adjustments
Survival models
Survey data
Multilevel weights
Marginal predictions, means, effects
Power and sample size
Survival models
Survey data
Multilevel weights
Marginal predictions, means, effects
Power and sample size
Contingency tables
Cochran–Mantel–Haenszel test
Test for trend
Matched case–control studies
Survival analysis
Markov-switching models
Cochran–Mantel–Haenszel test
Test for trend
Matched case–control studies
Survival analysis
Markov-switching models
Autoregressive model
Dynamic regression model
State-dependent parameters
Transition probabilities
State membership probabilities
Survey statistics
Dynamic regression model
State-dependent parameters
Transition probabilities
State membership probabilities
Survey statistics
Multilevel models
Survival models
SEM (structural equation modeling)
Multistage/multilevel weights
Panel-data survival models
Survival models
SEM (structural equation modeling)
Multistage/multilevel weights
Panel-data survival models
Random effects (intercepts)
Random coefficients
Right-censoring
Exponential, Weibull, ...
Survival graphs
Fractional outcome regression
Random coefficients
Right-censoring
Exponential, Weibull, ...
Survival graphs
Fractional outcome regression
Fractions, proportions, ...
Beta regression
Probit and logit
Heteroskedasticity
Odds ratios
Marginal means and marginal effects
Beta regression
Probit and logit
Heteroskedasticity
Odds ratios
Marginal means and marginal effects
Multiple outcomes
Multiple equations
Integrate over random effects
Integrate over latent variables
Multiple equations
Integrate over random effects
Integrate over latent variables
Two all new manuals
12,000+ total pages
Quick starts
Thousands of worked examples
Overview of statistical methods
More statistics
12,000+ total pages
Quick starts
Thousands of worked examples
Overview of statistical methods
More statistics
Hurdle models
Censored Poisson models
Beta regression
Structural break tests
z tests comparing means
More distribution functions
Mersenne Twister
Censored Poisson models
Beta regression
Structural break tests
z tests comparing means
More distribution functions
Mersenne Twister