Tapio Nummi

Keyphrases

1. Mixture Regression 100%
2. Covariance Structure 93%
3. Labour Market Attachment 74%
4. Modeling Techniques 71%
5. Trajectory Analysis 70%
6. Sequence Analysis 66%
7. Mixture Model 58%
8. Longitudinal Data 56%
9. Long-term Trajectories 53%
10. Maternal Weight 46%
11. Subjective Cognitive Complaints 46%
12. Body Mass Index 46%
13. Early Predictors 46%
14. Risk Factors 46%
15. Survival Analysis 46%
16. Somatic Symptoms 46%
17. Data-centric 46%
18. Preterm Labor 46%
19. High Involvement Management 46%
20. Leavers 46%
21. Industry Heterogeneity 46%
22. Psychosocial Conditions 46%
23. Prospective Cohort Study 46%
24. Model Transition 46%
25. Maternal Smoking 46%
26. Maternal Diabetes 46%
27. School Age 46%
28. Survival Data 46%
29. Management Practices 46%
30. Regression Modeling 46%
31. Unknown Covariance 46%
32. Growth Curve 46%
33. Growth Pattern 46%
34. Permanent Work Disability 46%
35. Pensioners 46%
36. Finite Mixture Modeling 46%
37. Pension Scheme 46%
38. Underinsurance 46%
39. Self-employed Workers 46%
40. Deterioration Modeling 46%
41. Railway Asset Management 46%
42. Track Geometry Degradation 46%
43. Depressiveness 46%
44. Emerging Adulthood 46%
45. Active Labour Market Policy 46%
46. Depressive Symptom Trajectory 46%
47. Protective Factors 46%
48. Finland 42%
49. Finite Mixture 38%
50. Curve Data 35%