Research Article

Latent Growth Curve Modeling for COVID-19 Cases in Presence of Time-Variant Covariate

Table 3

Estimate of coefficients for various GCMs for all countries data from August 2020 to July 2021.

Intercept and slope:
LinearQuadraticExponentialLatentMultiphase

τ077.122377.519777.529177.206377.0714
τ1−0.0554−0.3052−0.0486−0.2633−0.5005
τ20.02400.2096
λ (rate)15.9286
λ1−0.1469
λ20.3803
λ30.79730.2749
λ41.61570.0705
λ52.16370.8472
λ62.4558
λ72.42720.2223
λ81.99690.7587
λ91.50361.2315
λ101.16241.3624

Covariances:
τ0↔ τ0231.1603634.8185−7.1813322.9.86354.4765
τ1↔ τ122.4033383.80424.2484402.10722508.8822
τ2↔τ21428.26943.4922
τ0↔ τ1−446.6204−18.0949−268.0263−605.1945−46.4837
τ0↔ τ239.830635.6665
τ1↔ τ2−35.5733−1029.3199

denote significant parameter at .