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1

Asakura, Koko, and Toshimitsu Hamasaki. "Regression analysis." Drug Delivery System 31, no. 1 (2016): 72–81. http://dx.doi.org/10.2745/dds.31.72.

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2

Anthony, Denis. "Regression analysis." Nurse Researcher 4, no. 4 (1997): 54–62. http://dx.doi.org/10.7748/nr.4.4.54.s6.

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3

Anthony, Denis. "Regression analysis." Nurse Researcher 4, no. 1 (1996): 318–26. http://dx.doi.org/10.7748/nr1996.10.4.1.318.c6066.

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4

Munro, Barbara Hazard. "Regression Analysis." Clinical Nurse Specialist 6, no. 2 (1992): 77. http://dx.doi.org/10.1097/00002800-199200620-00006.

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5

Rawles, John, and J. C. Bignall. "REGRESSION ANALYSIS." Lancet 327, no. 8481 (1986): 614–15. http://dx.doi.org/10.1016/s0140-6736(86)92832-1.

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6

Bland, J. M., and D. G. Altman. "REGRESSION ANALYSIS." Lancet 327, no. 8486 (1986): 908–9. http://dx.doi.org/10.1016/s0140-6736(86)91008-1.

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7

Glaser, Elton. "Regression Analysis." Missouri Review 27, no. 1 (2004): 140–41. http://dx.doi.org/10.1353/mis.2004.0010.

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8

Lewis, S. "Regression analysis." Practical Neurology 7, no. 4 (2007): 259–64. http://dx.doi.org/10.1136/jnnp.2007.120055.

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9

Bolshakova, Lyudmila Valentinovna. "Correlation and Regression Analysis of Economic Problems." Revista Gestão Inovação e Tecnologias 11, no. 3 (2021): 2077–88. http://dx.doi.org/10.47059/revistageintec.v11i3.2074.

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10

Srivastava, Vaibhav, Saksham Kaushik, and Ujjwal Raj. "Student Placement Package Prediction By Regression Analysis." International Journal of Research Publication and Reviews 5, no. 1 (2024): 4724–29. http://dx.doi.org/10.55248/gengpi.5.0124.0345.

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11

Patel, Dr Varsha. "Regression Analysis of Pulses in Madhya Pradesh." International Journal of Research Publication and Reviews 6, no. 5 (2025): 1736–39. https://doi.org/10.55248/gengpi.6.0525.1640.

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12

ISHIBUCHI, Hisao. "Fuzzy Regression Analysis." Journal of Japan Society for Fuzzy Theory and Systems 4, no. 1 (1992): 52–60. http://dx.doi.org/10.3156/jfuzzy.4.1_52.

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13

TANAKA, Hideo. "Possibility Regression Analysis." Journal of Japan Society for Fuzzy Theory and Systems 5, no. 6 (1993): 1260–72. http://dx.doi.org/10.3156/jfuzzy.5.6_1260.

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14

Kilic, Selim. "Linear regression analysis." Journal of Mood Disorders 3, no. 2 (2013): 90. http://dx.doi.org/10.5455/jmood.20130624120840.

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15

Olkin, Ingram, and Shlomo Yitzhaki. "Gini Regression Analysis." International Statistical Review / Revue Internationale de Statistique 60, no. 2 (1992): 185. http://dx.doi.org/10.2307/1403649.

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16

Stein, Sheldon H. "Understanding Regression Analysis." Journal of Education for Business 65, no. 6 (1990): 264–69. http://dx.doi.org/10.1080/08832323.1990.10117439.

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17

Holcomb, John P., Norman R. Draper, Harry Smith, John O. Rawlings, Sastry G. Pantula, and David A. Dickey. "Applied Regression Analysis." American Statistician 53, no. 2 (1999): 170. http://dx.doi.org/10.2307/2685739.

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18

HOLZEMER, WILLIAM L., BONNIE MOWINSKI JENNINGS, DONALD B. CHAMBERS, and STEVEN M. PAUL. "Contextual Regression Analysis." Nursing Research 38, no. 2 (1989): 124. http://dx.doi.org/10.1097/00006199-198903000-00018.

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19

Olive, David J. "Linear Regression Analysis." Technometrics 45, no. 4 (2003): 362–63. http://dx.doi.org/10.1198/tech.2003.s163.

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20

Gunst, Richard F. "Applied Regression Analysis." Technometrics 41, no. 3 (1999): 265–66. http://dx.doi.org/10.1080/00401706.1999.10485680.

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21

Johnson, Paulette. "Applied Regression Analysis." Journal of Quality Technology 19, no. 2 (1987): 110–11. http://dx.doi.org/10.1080/00224065.1987.11979049.

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22

Borror, Connie M. "Applied Regression Analysis." Journal of Quality Technology 30, no. 4 (1998): 414–15. http://dx.doi.org/10.1080/00224065.1998.11979883.

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23

Denters, Bas, and Rob A. G. Van Puijenbroek. "Conditional regression analysis." Quality and Quantity 23, no. 1 (1989): 83–108. http://dx.doi.org/10.1007/bf00195408.

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24

Tarpey, Thaddeus, and Eva Petkova. "Latent regression analysis." Statistical Modelling: An International Journal 10, no. 2 (2010): 133–58. http://dx.doi.org/10.1177/1471082x0801000202.

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25

Zou, Tao, Wei Lan, Hansheng Wang, and Chih-Ling Tsai. "Covariance Regression Analysis." Journal of the American Statistical Association 112, no. 517 (2017): 266–81. http://dx.doi.org/10.1080/01621459.2015.1131699.

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26

Kosfeld, Reinhold, and Jørgen Lauridsen. "Factor analysis regression." Statistical Papers 49, no. 4 (2006): 653–67. http://dx.doi.org/10.1007/s00362-006-0036-1.

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27

Moortel, Koen Van de. "Multidirectional regression analysis." International Journal of Physics and Mathematics 3, no. 1 (2021): 35–43. http://dx.doi.org/10.33545/26648636.2021.v3.i1a.30.

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28

Framstad, Erik, Steinar Engen, and Nils Chr Stenseth. "Regression Analysis, Residual Analysis and Missing Variables in Regression Models." Oikos 44, no. 2 (1985): 319. http://dx.doi.org/10.2307/3544706.

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29

Kopsidas, Gerassimos C. "A regression analysis on the green olives debittering." Grasas y Aceites 42, no. 6 (1991): 401–3. http://dx.doi.org/10.3989/gya.1991.v42.i6.1200.

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30

Kukade, Manisha S., Trupti S. Joshi, and Sumit D. Sanghani. "Concept of Regression Analysis in Concrete Mix Design." International Journal of Trend in Scientific Research and Development Volume-2, Issue-2 (2018): 1412–17. http://dx.doi.org/10.31142/ijtsrd10708.

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31

Duleba, Antoni, and David Olive. "Regression Analysis and Multivariate Analysis." Seminars in Reproductive Medicine 14, no. 02 (1996): 139–53. http://dx.doi.org/10.1055/s-2007-1016322.

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32

Wu, Ju. "Study Applicable for Multi-Linear Regression Analysis and Logistic Regression Analysis." Open Electrical & Electronic Engineering Journal 8, no. 1 (2014): 782–86. http://dx.doi.org/10.2174/1874129001408010782.

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Resumo:
Current study focus on using method of multi-linear regression analysis and logistic regression analysis, and discuss about the condition and scope of multi-linear regression analysis and logistic regression analysis. A modeling method has been introduced keeping in the basic principles of multi-linear regression analysis and logistic regression analysis. The modeling method and two forms of analytic methods have been analyzed, based on two clinic test data of diabetes and Model-2 diabetes as objects of study in combination with the analytic methods of multi-linear regression and logistic regression. Analysis result indicate that glycosylated hemoglobin, glycerin trilaurate, total cholesterol of serum and blood sugar concentration present obvious positive relation (P < 0.05), whereas insulin and blood sugar present negative relation(P < 0.05); body mass index (BMI) and relative factors are dangerous; physical excise and relative factors are protective. In conclusion, multi-linear regression analysis and logistic regression analysis respectively have their own emphasis; for example, multi-linear regression analysis emphasizes on analyzing linear dependent relation with an dependent variable and multiple independent variables, whereas logistic regression analysis emphasizes on analyzing the relation between probability of occurring an incident and independent variables.
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33

Murugan, N. Senthil Vel, Dr V. Vallinayagam Dr. V.Vallinayagam, and Dr K. Senthamarai Kannan. "Multiple Regression Model and Similarity Analysis – A Comparison Study." Indian Journal of Applied Research 4, no. 8 (2011): 430–32. http://dx.doi.org/10.15373/2249555x/august2014/109.

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34

Ng, Meei Pyng, and Gary K. Grunwald. "Nonlinear Regression Analysis of the Joint-Regression Model." Biometrics 53, no. 4 (1997): 1366. http://dx.doi.org/10.2307/2533503.

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35

Fornell, Claes, Byong-Duk Rhee, and Youjae Yi. "Direct regression, reverse regression, and covariance structure analysis." Marketing Letters 2, no. 3 (1991): 309–20. http://dx.doi.org/10.1007/bf02404080.

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36

Mateo, Zenaida F., Yoshimasa Odaka, and Yutaka Tanaka. "SENSITIVITY ANALYSIS IN FACTOR ANALYSIS REGRESSION." Journal of the Japanese Society of Computational Statistics 6, no. 1 (1993): 11–24. http://dx.doi.org/10.5183/jjscs1988.6.11.

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37

Baik, Jaiwook. "Competing Risks Regression Analysis." Journal of Applied Reliability 18, no. 2 (2018): 130–42. http://dx.doi.org/10.33162/jar.2018.06.18.2.130.

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38

Jessen, Hans Christian, and S. Menard. "Applied Logistic Regression Analysis." Statistician 45, no. 4 (1996): 534. http://dx.doi.org/10.2307/2988559.

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39

Kilic, Selim. "Binary logistic regression analysis." Journal of Mood Disorders 5, no. 4 (2015): 191. http://dx.doi.org/10.5455/jmood.20151202122141.

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40

Taylor, Stephen J., G. Barrie Wetherill, P. Duncombe, et al. "Regression Analysis with Applications." Journal of the Operational Research Society 38, no. 11 (1987): 1091. http://dx.doi.org/10.2307/2582235.

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41

Ziegel, Eric R., and Scott Menard. "Applied Logistic Regression Analysis." Technometrics 38, no. 2 (1996): 192. http://dx.doi.org/10.2307/1270433.

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42

Mason, Robert L., G. Barrie Wetherill, P. Duncombe, et al. "Regression Analysis with Applications." Journal of the American Statistical Association 83, no. 404 (1988): 1215. http://dx.doi.org/10.2307/2290164.

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43

Hasted, A. M., and G. B. Wetherill. "Regression Analysis with Applications." Biometrics 45, no. 1 (1989): 342. http://dx.doi.org/10.2307/2532064.

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44

Kanji, G. K., S. Chatterjee, and B. Price. "Regression Analysis by Example." Biometrics 49, no. 1 (1993): 317. http://dx.doi.org/10.2307/2532627.

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45

Muthén, Bengt, and Tihomir Asparouhov. "Multilevel regression mixture analysis." Journal of the Royal Statistical Society: Series A (Statistics in Society) 172, no. 3 (2009): 639–57. http://dx.doi.org/10.1111/j.1467-985x.2009.00589.x.

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46

SRJ, Samprit Chatterjee, Ali S. Hadi, and Bertram Price. "Regression Analysis by Example." Journal of the American Statistical Association 95, no. 452 (2000): 1381. http://dx.doi.org/10.2307/2669806.

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47

Kern, John C. "Introduction to Regression Analysis." American Statistician 61, no. 1 (2007): 101. http://dx.doi.org/10.1198/tas.2007.s74.

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48

Moore, Terri. "Regression Analysis by Example." Technometrics 43, no. 2 (2001): 236. http://dx.doi.org/10.1198/tech.2001.s588.

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49

Olive, David J. "Introduction to Regression Analysis." Technometrics 47, no. 2 (2005): 233. http://dx.doi.org/10.1198/tech.2005.s257.

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50

Stromberg, Arnold J. "Robust Diagnostic Regression Analysis." Journal of the American Statistical Association 97, no. 457 (2002): 365–66. http://dx.doi.org/10.1198/jasa.2002.s465.

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